m(list=ls())
library(tidyverse)
library(gridExtra)
# read in frame
df <- read.csv("/Users/erollkuhn/Dropbox (Personal)/Refugee Context Project/Code for Dataverse/4a.Predicted Values/Output/B.Tables/CleanPredictions_forPlot_v2.csv")
df$facet_lab <- ifelse(df$Var=="% Foreign-Born",1,
ifelse(df$Var=="% Non-EU Foreign-Born",2,
ifelse(df$Var=="% Co-National (Syrians Only)",3,NA)))
df$facet_lab <- factor(df$facet_lab,
levels = c(1,2,3),
labels = c("% Foreign-Born",
"% Non-EU Foreign-Born",
"% Co-National (Syrians Only)"))
ggplot(df) +
geom_line(aes(x=Value,y=Pred),size=1) +
geom_smooth(aes(x=Value,y=bottom95),color="red",size=0.5,lty=3) +
geom_smooth(aes(x=Value,y=top95),color="red",size=0.5,lty=3) +
geom_col(aes(x=Value,y=prop_val)) +
facet_wrap(~facet_lab) +
theme_bw() +
geom_hline(yintercept = 0, lty = 2) +
geom_hline(yintercept = 1, lty = 2) +
ylim(-0.05,1.20) +
xlab("Value of Demographic Variable (% of County Population)") +
ylab("Predicted Value on Welcomeness Index") +
theme(legend.position = "none",
panel.grid.major.x = element_blank(),
panel.grid.minor = element_blank(),
panel.grid.major = element_blank())
rm(list=ls())
library(tidyverse)
library(gridExtra)
# read in frame
df <- read.csv("/Users/erollkuhn/Dropbox (Personal)/Refugee Context Project/Code for Dataverse/4a.Predicted Values/Output/B.Tables/CleanPredictions_forPlot_v2.csv")
df$facet_lab <- ifelse(df$Var=="% Foreign-Born",1,
ifelse(df$Var=="% Non-EU Foreign-Born",2,
ifelse(df$Var=="% Co-National (Syrians Only)",3,NA)))
df$facet_lab <- factor(df$facet_lab,
levels = c(1,2,3),
labels = c("% Foreign-Born",
"% Non-EU Foreign-Born",
"% Co-National (Syrians Only)"))
ggplot(df) +
geom_line(aes(x=Value,y=Pred),size=1) +
geom_smooth(aes(x=Value,y=bottom95),color="red",size=0.5,lty=3) +
geom_smooth(aes(x=Value,y=top95),color="red",size=0.5,lty=3) +
geom_col(aes(x=Value,y=prop_val)) +
facet_wrap(~facet_lab) +
theme_bw() +
geom_hline(yintercept = 0, lty = 2) +
geom_hline(yintercept = 1, lty = 2) +
ylim(-0.05,1.20) +
xlab("Value of Demographic Variable (% of County Population)") +
ylab("Predicted Value on Welcomeness Index") +
theme(legend.position = "none",
panel.grid.major.x = element_blank(),
panel.grid.minor = element_blank(),
panel.grid.major = element_blank())
